(Popular explanation and prices: https://www.youtube.com/watch?v=mNcXue7X8H0&t=268)
AI local models are Artificial Intelligence models, such as Large Language Models (LLMs) and diffusion models, that run directly on a user's device or private network, offering advantages like enhanced privacy, offline access, and complete control over data and resources, as opposed to relying on cloud-based services. Tools like Ollama, GPT4All, and LM Studio enable users to download and interact with these open-source models locally, which can be cost-effective and allow for fine-tuning models for specific tasks.
What Are AI Local Models?
On-Device Operation:
Local AI models run on a user's own computer or a private network, rather than on remote servers in the cloud.
Privacy-Focused:
Because data doesn't leave the device, users have complete control over their information, ensuring higher privacy and security.
Offline Functionality:
Models can operate without an internet connection, making them accessible in any environment.
Customization and Control:
Users can manage their AI models and infrastructure, including controlling resource usage (CPU, memory) and potentially fine-tuning models with their own data for specific needs.
How Do They Work?
1. Install a Framework:
Download and install a local AI framework like Ollama, GPT4All, or LM Studio.
2. Download a Model:
Use the framework to download and install open-source AI models from a library or hub.
3. Interact with the Model:
Run and interact with the downloaded models through a command-line interface or a user-friendly graphical interface like Open WebUI or ChatUI.
Benefits of Local AI Models
Data Privacy & Security: User data never leaves their hardware.
Cost-Effectiveness: Eliminates subscription or API costs associated with cloud-based AI services.
Offline Capability: AI tasks can be performed without an internet connection.
Control and Customization: Users have full control over the models and their performance.
Key Software and Platforms
Ollama: An open-source framework for running LLMs locally.
GPT4All: A free, privacy-focused chatbot for local LLM usage.
LM Studio: A tool for running AI models locally on Windows, macOS, and Linux.
Open WebUI: A self-hosted AI platform that supports Ollama and other LLM runners for interaction.
“PARIS -- Europe's most-prominent artificial-intelligence developer is tapping the continent's biggest tech giant for cash to keep up in the global AI race.
Dutch chip-equipment giant ASML is pumping $1.5 billion into France's Mistral AI for an 11% stake, leading a round valuing the Paris-based startup at nearly $14 billion -- more than double its valuation last year. The ASML funds come as part of a roughly $2 billion round that Mistral says also includes Yuri Milner's DST Global and French state-owned investment bank Bpifrance.
The deal gives Mistral, founded in 2023, fresh firepower in its quest to develop cutting-edge AI models and data centers independent from its American competitors. But Mistral's funding and valuation trail those of its biggest Silicon Valley rivals by an order of magnitude. Anthropic last week closed a $13 billion funding round at a valuation of $183 billion.
Europe has put more emphasis on homegrown AI as tensions have grown with the U.S. over trade and tech policy. In February, Vice President JD Vance told a Paris summit that the U.S. was winning the race to build the best AI chips and algorithms, and intended "to keep it that way."
Mistral Chief Executive Arthur Mensch has said he and his co-founders left Google and Meta Platforms in part to prove that Europe could challenge Silicon Valley on AI. Their plan is to remain independent by offering companies in Europe, the U.S. and elsewhere a cost-effective alternative to companies like OpenAI or Anthropic, without turning to Chinese options like DeepSeek.
Mensch said in June that growing demand for Mistral's AI models put the company on pace to earn revenue of more than $100 million a year.
To be sure, Mistral has ties to the U.S. Its investors include American venture-capital firms like General Catalyst and Andreessen Horowitz and U.S. companies like Nvidia, all of which participated in this round. The company has offices in New York and Palo Alto, Calif.
But Mistral has become a cause celebre in France's fight for European AI autonomy. Mensch has shared the stage on multiple occasions with French President Emmanuel Macron. The French president said he pushed French businesses to back Mistral's deal to buy 18,000 cutting-edge AI chips from Nvidia for a huge AI data center south of Paris.
"This is our fight for sovereignty, for strategic autonomy," Macron said at the time.
ASML also is a European champion. Based in Veldhoven, Netherlands, and with a market capitalization of more than $300 billion, it is the only company in the world that makes the lithography machines that etch the most-advanced AI semiconductors.
The company said Tuesday that as part of its 1.3 billion euros -- equivalent to roughly $1.5 billion -- investment in Mistral, it will partner with the company to use Mistral's AI models in its research, operations and products. It also will get a seat on Mistral's strategic committee.
"This investment brings together two technology leaders operating in the same value chain," Mensch said.” [A]
A. Mistral AI Value Hits $14 Billion --- Fresh funding gives the French startup firepower in quest to build local AI models. Schechner, Sam. Wall Street Journal, Eastern edition; New York, N.Y.. 10 Sep 2025: B4.
Komentarų nėra:
Rašyti komentarą